Search results

This study examines how firms’ use of competitor-focused accounting information, specifically competitor monitoring information, impacts their pricing, demand, and overall revenue performance. The monitoring activities examined are the scope of monitoring, monitoring above and below one’s own hotel class (i.e., market segment), and the extent of reciprocity of monitoring. Competitor analysis is a central element in strategic management accounting (SMA), yet little empirical research has been done since companies do not disclose competitor monitoring activities. Proving the value of competitive monitoring provides strong support for SMA. Archival, proprietary monitoring information regarding pricing, demand, and revenue were obtained from one of the largest hotel markets in the United States. Using regression, we modeled the relationships between performance measures (pricing, demand, and revenue) and monitoring behaviors, while controlling for quality (hotel characteristics and management skill), competitive intensity, hotel class, geographic location, and ownership type. Our results indicate that two aspects of competitor monitoring impact hotel pricing that, in turn, impacts hotel demand and revenue performance. Specifically, a hotel monitoring more competitors (what we refer to as Scope) achieves higher prices with unchanged demand, resulting in higher revenue performance. Most hotels monitor within their class. However, deviating from one’s class has profound outcomes: looking at lower (higher) quality hotels results in a hotel setting lower (higher) prices, resulting in higher (unchanged) demand and lower (higher) revenue performance. Surprisingly, we did not find support for the reciprocity of monitoring. That is, whether the competitors monitored by a hotel, in turn follow the target, has no impact on hotel revenue performance outcomes. While the SMA literature notes the importance of competitor monitoring, this study fills a gap in an important, under-researched area by documenting the link between competitor monitoring behaviors and organizational revenue performance. This may help promote greater diffusion of SMA practices.

This study explores the short- and medium-term effects generated by the Milan Expo 2015, adopting a microeconomic approach. The focus is on the hospitality sector. The study embraces nine years, identifying three intervals: pre- (2011–2014), during- (2015) and post-Expo (2016–2019). The time span does not include the Covid-19 pandemic period, which started in 2020. The dataset is composed of daily data. Three research questions are explored. First, an overall evaluation of the short- and medium-term effects is performed. Second, the seasonal effects are measured. Finally, the impacts for different classes of hotels are considered. The findings are supportive for the legacy generated by the Milan Expo. The results confirm the ability of the Milan Expo to strengthen the leisure segment. Positive results have been observed for all classes of hotels, relevantly augmenting the real revenue per available room (RevPAR). Luxury hotels achieved the highest increase of RevPAR, while economy class hotels registered the highest percentage of increase of RevPAR.

Ubiquitous web applications (UWA) are a new type of web applications which are accessed in various contexts, i.e. through different devices, by users with various interests, at anytime from anyplace around the globe. For such full‐fledged, complex software systems, a methodologically sound engineering approach in terms of model‐driven engineering (MDE) is crucial. Several modeling approaches have already been proposed that capture the ubiquitous nature of web applications, each of them having different origins, pursuing different goals and providing a pantheon of concepts. This paper aims to give an in‐depth comparison of seven modeling approaches supporting the development of UWAs.

This methodology is conducted by applying a detailed set of evaluation criteria and by demonstrating its applicability on basis of an exemplary tourism web application. In particular, five commonly found ubiquitous scenarios are investigated, thus providing initial insight into the modeling concepts of each approach as well as to facilitate their comparability.

The results gained indicate that many modeling approaches lack a proper MDE foundation in terms of meta‐models and tool support. The proposed modeling mechanisms for ubiquity are often limited, since they neither cover all relevant context factors in an explicit, self‐contained, and extensible way, nor allow for a wide spectrum of extensible adaptation operations. The provided modeling concepts frequently do not allow dealing with all different parts of a web application in terms of its content, hypertext, and presentation levels as well as their structural and behavioral features. Finally, current modeling approaches do not reflect the crosscutting nature of ubiquity but rather intermingle context and adaptation issues with the core parts of a web application, thus hampering maintainability and extensibility.

Different from other surveys in the area of modeling web applications, this paper specifically considers modeling concepts for their ubiquitous nature, together with an investigation of available support for MDD in a comprehensive way, using a well‐defined as well as fine‐grained catalogue of more than 30 evaluation criteria.

The purpose of this study is to test the local impact of COVID-19 pandemic on hotel performance at the individual property level, and further examine the roles of hotel attributes and business mix in potentially moderating or intensifying the impact of a crisis.

Using a sample of 5,090 hotel properties in Texas, USA from January 2020 to December 2021, this study estimates a monthly hotel performance model to evaluate how the pandemic affected hotels’ operational performance based on revenue per available room.

Results show that a 10% increase in the monthly number of confirmed COVID-19 cases led to a 0.522% decrease in hotel performance. Also, a series of moderators were identified within the pandemic–performance relationship: the negative impact of the pandemic was more severe among higher-end hotels and newer hotels; urbanization and localization diseconomies prevailed during the pandemic; and there was a smaller negative effect of COVID-19 on high rated hotels in the category of economy hotels.

The moderators highlighted in this paper shed light on the heterogeneity of COVID-19’s effects on hotel operations. Findings enrich the hospitality literature by considering business resilience in relation to the pandemic.

This study aims to present a taxonomic framework that categorizes hotel loyalty program members on the basis of involvement and a mix of behavioral outcome variables.

The taxonomy is derived through mixture modeling from a sample of 1,395 loyalty program members of two global hotel chains.

Study results suggest the presence of four classes of program members across both hotels. Class members differ with respect to the attitudes they hold, the behaviors they exhibit, and the motivations they have for maintaining membership in the program.

First, the study enhances understanding of member differences that exist within loyalty programs. Second, the study advances understanding of the ways through which loyalty programs can best be managed. Third, the study illustrates the usefulness of mixture modeling as a classificatory tool.

Study results are not generalizable beyond the sample used in deriving them. Further, decisions pertaining to what variables to include in developing a taxonomic framework are critical to its usefulness. The choice to include certain variables as well as their related measures, to the exclusion of others, represents a second limitation.

The study is but the second to empirically categorize loyalty program members, and the first to do so in a services context. Two classes of high‐involvement customers emerge, each with contrasting attitudes and behaviors. Thus, our findings suggest that high levels of involvement invoke the most extreme of customer attitudes and behaviors.

This purpose of this study was to explore two key issues in experiential marketing from an organizational perspective: the management of “strategic experiential modules” and the management of “service encounters” specific to a memorable experience for children in urban luxury hotels.

An integrated model combining managerial and practice-oriented frameworks was used to study how luxury hotel managers design and create memorable experiences for children. The study took a qualitative approach in collecting in-depth data and interviewed 35 managers of five-star luxury hotels in Paris. The data were processed using the Alceste software, an automated lexical program that analyzed the co-occurrence of words and sentences.

With regard to the integrated model, the analysis of the interviews distinguished four main dimensions, which accounted for more than 84 per cent of the original textual data. Three dimensions, related to emotional-sensorial-physical experiential modules, described how managers strategically managed the child experience and journey while at their hotel. A fourth dimension was also identified in relation to the upstream of the service encounter. The findings highlighted a significant gap in how hotel managers were managing the experiences of children under 12 years of age and that further incorporation of various touchpoints is needed to improve the management of the service design.

This study demonstrated the applicability of the proposed integrated model, which offers valuable marketing implications for luxury hotel managers. It is suggested that more research on the management of the child experience and journey is conducted in the future.

To the best of the researchers’ knowledge, this is the first empirical study to combine these two frameworks to study the management of the child experience and journey in the luxury hospitality sector.

Using a video revealing unhygienic practices in Chinese five-star hotels as the case study, this study aims to understand the impact of service failure online exposure on hotel revenue performance in terms of seriousness, magnitude and duration, as well as to identify the hotel-characteristics and hotel-responsiveness factors that influence revenue recovery.

This study uses the actual Revenue per Available Room data of ten hotels involved in the incident and five different market segments during 2016–2019. Event study method is used to investigate the effect of online exposure on hotel revenue performance.

This study confirms the significant negative effect of online exposure and that hotels take nearly nine months to fully recover. The results indicate that hotel size, hotel age and response strategy play an important role in reducing negative impacts. Moreover, this study reveals the dynamic spillover effects of online exposure on different hotel market segments. These effects change from a competitive to a contagious effect with a decrease in class ratings.

Low-class hotel managers should take effective actions to avoid possible negative spillovers from others’ service failure incidents. Hotel managers could consider the synergy of different strategies rather than a single response strategy to minimize losses.

This study theoretically broadens knowledge about the negative impact of online exposure on Chinese hotel revenue. Additionally, the findings examine the dynamic spillover effects on hotels in different segments. Furthermore, they extend the existing findings on the negative impact of online public opinion crises.

本研究以一段揭示中国五星级酒店不卫生行为的视频为案例, 旨在了解网上曝光的服务失败事件在严重程度、规模和持续时间方面对酒店收入绩效的影响, 并确定影响收入恢复的酒店特征和酒店回应因素。

本研究使用了2016–2019年期间10家涉及酒店和5个不同的细分市场的实际每间可用房收入（RevPARs）数据。采用事件研究法（ESM）来研究网上曝光对酒店收入绩效的影响。

本研究证实了网上曝光的显著负面效应, 酒店需要近9个月的时间才能完全恢复。结果表明, 酒店规模、酒店年龄和回应策略在减少负面影响方面发挥了重要作用。此外, 本研究还揭示了在线曝光对不同酒店细分市场的动态溢出效应。这些效应随着酒店星级的下降而从竞争效应变为传染效应。

低星级酒店管理者应采取有效行动, 避免其他酒店的服务失败事件可能带来的负面溢出效应。酒店管理者可以考虑不同策略的协同作用, 而不是单一的回应策略来减少损失。

本研究从理论上拓宽了关于网上曝光对中国酒店收入绩效的负面影响的知识。与此同时, 本研究的结果考察了不同细分市场的酒店的动态溢出效应。此外, 还扩展了现有的关于网络舆情危机的负面影响的研究结果。

Este estudio utiliza los datos reales de ingresos por habitación disponible (RevPAR) de 10 hoteles implicados en el incidente y cinco segmentos de mercado diferentes durante 2016-2019. Se utiliza el método de estudio de sucesos (ESM) para investigar el efecto de la exposición en línea en el rendimiento de los ingresos de los hoteles.

Utilizando como caso de estudio un vídeo que revela prácticas antihigiénicas en hoteles chinos de cinco estrellas, este estudio pretende comprender el impacto de la exposición online de fallos en el servicio sobre el rendimiento de los ingresos hoteleros en términos de gravedad, magnitud y duración, así como identificar las características y los factores de respuesta del hotel que influyen en la recuperación de los ingresos.

Este estudio confirma el importante efecto negativo de la exposición online, tardando los hoteles casi nueve meses en recuperarse totalmente. Los resultados indican que el tamaño del hotel, su antigüedad y la estrategia de respuesta desempeñan un papel importante en la reducción del impacto negativo. Además, este estudio revela los efectos indirectos dinámicos de la exposición online en diferentes segmentos del mercado hotelero. Estos efectos cambian de un efecto competitivo a un efecto contagioso con una disminución de las calificaciones de la categoría o clase hotelera.

Los revenue managers de los hoteles de categoría baja deberían tomar medidas eficaces para evitar posibles repercusiones negativas de los fallos en el servicio de otros hoteles. Los directores de hotel podrían considerar la sinergia de diferentes estrategias en lugar de una única estrategia de respuesta para minimizar las pérdidas.

Este estudio amplía teóricamente los conocimientos sobre el impacto negativo de la exposición online en los ingresos de los hoteles chinos. Además, los resultados examinan los efectos indirectos dinámicos en hoteles de diferentes segmentos. Además, amplían los resultados existentes sobre el impacto negativo de las crisis de opinión pública online.

The purpose of this paper is to assess the organisational readiness of small and medium scaled hotels to serve indigenous local cuisines and to segment the hotel properties for gastronomic tourism campaigning and destination marketing aims. The study also explores how the concept of organisational readiness relates to menu decision makers’ intentions, perceived benefits and organisational characteristics.

Organisational readiness was measured by three dimensions (culture, climate and capacity). Data were derived from a survey of primary menu decision makers from 187 hotels in Ghana. Using a combination of hierarchical and non-hierarchical (K-means) algorithms, the hotels were clustered into homogenous groups based on the original raw scores of hotel readiness indicators. The resultant cluster solution was then validated and profiled against relevant external variables.

Analyses reveal three clusters which distinguish hotels by the degree of readiness to serve indigenous local dishes. The resultant segments differ by hotel category (star rating) as well as by the job positions and perceptions of primary menu decision makers. Unexpectedly, lower class hotels displayed significantly greater levels of organisational readiness to serve indigenous cuisines than those in the higher class category.

The study demonstrates that organisational readiness is related to perceived benefits and intentions. Among others, the findings advance the understanding of organisational readiness in hotels in the context of menu decision-making. Given the need to embed new practices in a fast-changing hospitality environment, insights drawn could also serve as a basis for future research. Generalisability of empirical findings may be limited by the socio-economic context as well as the study’s focus on small and medium scaled hotels.

This paper supports hotel businesses in understanding the concept of organisational readiness and its relation to organisational characteristics and menu decision-making. By highlighting the different clusters of hotels, the findings accentuate the need for destination marketers and gastronomic tourism campaigners to target higher classed hotels and draw attention to the potential benefits of serving indigenous cuisines while addressing latent concerns. The results further underscore the role of organisational culture and the necessity for such campaign activities to be directed towards those with ample influence within the hierarchical structures of hotels.

This is an initial attempt to examine the application of the organisational readiness concept to menu decision-making in hotels and to explore the implications for segmentation purposes. Further analysis revealed the critical role of organisational culture on menu decision-making patterns. Thus, the paper applies an important element of organisational development theory to the hotel industry and represents a valuable contribution to the scant literature on indigenous cuisines in hotel food service contexts.

The purpose of this study is to analyze online hotel reviews produced by customers to identify and compare factors known as satisfiers and dissatisfiers based on Herzberg’s two-factor theory. This approach was applied to compare full-service and limited-service hotels, which can show different levels of customer expectation.

A content analysis of 919 satisfaction- and dissatisfaction-indicating reviews of 100 hotels in both full-service and limited-service hotel segments in New York City on Trip Advisor was conducted.

Results show that satisfiers and dissatisfiers in full-service hotels were distinct, with the exception of two common service-related factors, namely, “staff and their attitude” and “service”. On the other hand, “staff and their attitude” and four room facilities-related factors, “room cleanliness/dirtiness”, “bed”, “bathroom” and “room size”, were revealed as common satisfiers and dissatisfiers in limited-service hotels. To fulfill customer satisfaction and resolve dissatisfaction in both full-service and limited-service hotels, satisfiers and dissatisfiers should be highlighted according to the hotel class; the most critical factor is “staff and their attitude”.

Analysis of online hotel reviews provides understanding of customers’ satisfiers and dissatisfiers, and the results are very useful to hotel management. Therefore, hotel operators should monitor electronic word-of-mouth, recognizing and acting upon previous and current customers’ satisfactory and unsatisfactory reactions.

As technologies such as social media develop, customers are increasingly sharing their satisfactory and unsatisfactory experiences on consumer-generated online review sites. These have become a major source of information not only for customers deciding on a hotel stay but also for hotel managers trying to understand their customers and competitors.

With a focus on service encounters in the luxury segment of hospitality and tourism, the authors analyse how inherent social class distinctions and status differences are (re-)produced and which role gender plays in this process of “doing class”.

The authors combine concepts of class work and inequality regimes with a focus on intersections of class and gender. The empirical study is based on interviews in Germany with first-class flight attendants, five-star hotel employees, and luxury customers on how they perceive and legitimize luxury services, working conditions and status differences.

The authors identify perceptions and practices of status enhancement and status dissonance among luxury service workers, as well as gender practices and meanings such as specific feminized roles service workers take on. The authors also conceptualize these intersecting patterns of inequality reproduction as “gendered class work”.

The study broadens empirical accounts of labour relations in the service industries. The concept of organizational class work is extended towards worker–customer interactions. With the concept of gendered class work, the authors contribute to research on the intersectionality of class and gender and the reproduction of inequalities.